Reasoning under inconsistency based on implicitly-specified partial qualitative probability relations: a unified framework - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 1998

Reasoning under inconsistency based on implicitly-specified partial qualitative probability relations: a unified framework

Résumé

Coherence-based approaches to inconsistency handling proceed by selecting preferred consistent subbases of the belief base according to a predefined method which takes advantage of explicitly stated priorities. We propose here a general framework where the preference relation between subsets of the belief base is induced by a system of constraints directly expressed by the user. Postulates taking their source in the qualitative modelling of uncertainty, either probabilistic or possibilistic, are used for completing the implicit specification of the preference relations. This enables us to define various types of preference relations, including as particular cases several well-known systems such as Brewka's preferred subtheories or the lexicographical system. Since the number of preferred consistent subbases may be prohibitive, we propose to compile the inconsistent belief base into a new one from which it is easier to select one preferred consistent subbase.
Fichier non déposé

Dates et versions

hal-04026177 , version 1 (13-03-2023)

Identifiants

  • HAL Id : hal-04026177 , version 1

Citer

Salem Benferhat, Didier Dubois, Jérôme Lang, Henri Prade, Alessandro Saffiotti, et al.. Reasoning under inconsistency based on implicitly-specified partial qualitative probability relations: a unified framework. 15th National Conference on Artificial Intelligence / 10th Innovative Applications of Artificial Intelligence Conference (AAAI / IAAI 1998), AAAI; IAAI, Jul 1998, Madison, Wisconsin, United States. pp.121--126. ⟨hal-04026177⟩
10 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More